407 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof" positions at Princeton University
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. Envisioned Residents may range from entrepreneurs, app developers, leaders of non-governmental organizations, and policy wonks, to activists, climate scientists, leaders of social, cultural, or health-related
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. Envisioned Residents may range from entrepreneurs, app developers, leaders of non-governmental organizations, and policy wonks, to activists, climate scientists, leaders of social, cultural, or health-related
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officials when additional information is needed. Preparation for Mailings and Events The admission assistant will prepare (with an extremely high level of attention to detail and confidentiality) items
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position for new projects to characterize synthesis processes and novel materials in several research thrusts: i) development of advanced manufacturing processes for low-cost battery cathode active materials
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for an experienced research technician to work as a full-time Research Specialist. Research in the lab focuses on understanding genetic influences that shape the development and evolution of the mammalian brain
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second year or more is not eligible. Responsibilities The successful candidate will assist with all aspects of research, including (1) developing materials and programming experiments, (2) recruiting and
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of the commons, the lived experience of poverty, various forms of individual and collective ownership and resistance to them, the administrative and informational technologies enabling the development of property
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collaborative projects. This will include planning meetings in the spring to develop crop plans and designs, developing a timeline that ensures proper temporal and spatial isolation distances are observed across
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polymer physics. The successful candidate will develop strategies to design, synthesize, and characterize the properties of soft materials using advanced microscopy techniques and related methods
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, combines advanced system neuroscience and computational modeling techniques to study planning in rodents engaged in dynamic spatial foraging tasks. The successful candidate will develop computational models